Application of Synchrosqueezing Short Fourier transform analysis in Ground Penetrating Radar thin layer Recognition

L. Qiao, Yao Qin
{"title":"Application of Synchrosqueezing Short Fourier transform analysis in Ground Penetrating Radar thin layer Recognition","authors":"L. Qiao, Yao Qin","doi":"10.1109/ICGPR.2018.8441648","DOIUrl":null,"url":null,"abstract":"In order to meet the need of actual exploration, this paper makes a deep study of the thin layer's electromagnetic reflection properties. The Synchrosqueezing Short-Time Fourier Transform (SSTFT) is introduced into the thin layer identification. This method is highly adaptive to the given signal and makes the time-frequency plot more sharpen. Even the layer with the thickness of $\\lambda/8$, the SSTFT analysis method can still pick up the top and bottom of the layer. The experiment on the and real data show that the method improves the time-frequency resolution and the layer recognition ability of the Ground Penetrating Radar signal.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 17th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2018.8441648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to meet the need of actual exploration, this paper makes a deep study of the thin layer's electromagnetic reflection properties. The Synchrosqueezing Short-Time Fourier Transform (SSTFT) is introduced into the thin layer identification. This method is highly adaptive to the given signal and makes the time-frequency plot more sharpen. Even the layer with the thickness of $\lambda/8$, the SSTFT analysis method can still pick up the top and bottom of the layer. The experiment on the and real data show that the method improves the time-frequency resolution and the layer recognition ability of the Ground Penetrating Radar signal.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
同步压缩短傅里叶变换分析在探地雷达薄层识别中的应用
为了满足实际勘探的需要,本文对薄层的电磁反射特性进行了深入的研究。将同步压缩短时傅里叶变换(SSTFT)引入薄层识别中。该方法对给定信号的适应性强,使时频图更加清晰。即使是厚度为$\lambda/8$的层,SSTFT分析方法仍然可以拾取层的顶部和底部。实验结果表明,该方法提高了探地雷达信号的时频分辨率和层识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A high-stability dual-chip GPR for cooperative target probing Ice volume estimates of Swiss glaciers using helicopter-borne GPR — an example from the Glacier de la Plaine Morte Detection of Top Coal by Conductively-Guided Borehole Radar Waves: Results from Numerical Modelling Investigating karst cave sediments of unroofed caves with GPR, XRF and XRD Comparison of GPR and Capacitance Probe laboratory experiments in sandy soils
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1